How can I determine the bit depth of a bmp file on Mac OS X? In particular, I want to check if a bmp file is a true 24 bit file, or if it is being saved as a greyscale (i.e. 8 bit) image. I have a black-and-white image which I think I have forced to be 24 bit (using convert -type TrueColor), but Imagemagick gives conflicting results:
> identify -verbose hiBW24.bmp
...
Type: Grayscale
Base type: Grayscale
Endianess: Undefined
Colorspace: Gray
> identify -debug coder hiBW24.bmp
...
Bits per pixel: 24
A number of other command-line utilities are no help, it seems:
> file hi.bmp
hi.bmp: data
> exiv2 hiBW24.bmp
File name : hiBW24.bmp
File size : 286338 Bytes
MIME type : image/x-ms-bmp
Image size : 200 x 477
hiBW24.bmp: No Exif data found in the file
> mediainfo -f hi.bmp
...[nothing useful]
If you want a commend-line utility try sips (do not forget to read the manpage with man sips). Example:
*terminal input*
sips -g all /Users/hg/Pictures/2012/03/14/QRCodeA.bmp
*output is:*
/Users/hg/Pictures/2012/03/14/QRCodeA.bmp
pixelWidth: 150
pixelHeight: 143
typeIdentifier: com.microsoft.bmp
format: bmp
formatOptions: default
dpiWidth: 96.000
dpiHeight: 96.000
samplesPerPixel: 3
bitsPerSample: 8
hasAlpha: no
space: RGB
I think the result contains the values you are after.
Another way is to open the image with the previewer preview.app and the open the info panel.
One of the most informative programs (but not easy to use) is exiftool by Phil Harvey http://www.sno.phy.queensu.ca/~phil/exiftool/ , which also works very well on MacOSX for a lot of file formats but maybe an overkill for your purpose.
I did this to investigate:
# create a black-to-white gradient and save as a BMP, then `identify` it to a file `unlim`
convert -size 256x256 gradient:black-white a.bmp
identify -verbose a.bmp > unlim
# create another black-to-white gradient but force 256 colours, then `identify` to a second file `256`
convert -size 256x256 gradient:black-white -colors 256 a.bmp
identify -verbose a.bmp > 256
# Now look at difference
opendiff unlim 256
And the difference is that the -colors 256 image has a palette in the header and has a Class:PseudoClass whereas the other has Class:Direct
Related
I'm trying to get image metadata from the internet using exiftool and tried to follow along with the piping example provided in exiftools docs, which I've linked below. This does not work as expected and instead returns an error of no file specified. I've tried putting the URL into quotes, changing around the command to use curl as an input into exiftool instead of piping, nothing seems to work. Any help would be appreciated.
https://exiftool.org/exiftool_pod.html#PIPING-EXAMPLES
Works just fine for me. Make sure to add the - to indicate reading from stdin. Here is an example:
> curl -s "https://www.gravatar.com/avatar/1f20f72dba83a169c623fbe652657a32?s=48&d=identicon&r=PG" | exiftool -
ExifTool Version Number : 11.88
File Type : PNG
File Type Extension : png
MIME Type : image/png
Image Width : 48
Image Height : 48
Bit Depth : 8
Color Type : RGB with Alpha
Compression : Deflate/Inflate
Filter : Adaptive
Interlace : Noninterlaced
Pixels Per Unit X : 3780
Pixels Per Unit Y : 3780
Pixel Units : meters
Image Size : 48x48
Megapixels : 0.002
So I have raw image and I am just curious If I can edit such image to save as RGB-32 Packed transparent interlaced raw and what program I could use, there is specification:
Format of RAW image
I have tried using photoshop but then game crashes. Is it even possible? I should get file without thumbnail. I also tried using gimp, free converters and Raw viewer but no luck. Any suggestions?
Edit:
Used photoshop (interleaved with transparency format), game starts but images are just bunch of pixels.
file that i try to prepare (221bits)
We are still not getting a handle on what output format you are really trying to achieve. Let's try generating a file from scratch, to see if we can get there.
So, let's just use simple commands that are available on a Mac and generate some test images from first principles. Start with exactly the same ghost.raw image you shared in your question. We will take the first 12 bytes as the header, and then generate a file full of red pixels and see if that works:
# Grab first 12 bytes from "ghost.raw" and start a new file "red.raw"
head -c 12 ghost.raw > red.raw
# Now generate 512x108 pixels, where red=ff, green=00, blue=01, alpha=fe and append to "red.raw"
perl -E 'say "ff0001fe" x (512*108)' | xxd -r -p >> red.raw
So you can try using red.raw in place of ghost.raw and tell me what happens.
Now try generating a blue file just the same:
# Grab first 12 bytes from "ghost.raw" and start a new file "blue.raw"
head -c 12 ghost.raw > blue.raw
# Now generate 512x108 pixels, where red=00, green=01, blue=ff, alpha=fe and append to "blue.raw"
perl -E 'say "0001fffe" x (512*108)' | xxd -r -p >> blue.raw
And then try blue.raw.
Original Answer
AFAIK, your image is actually 512 pixels wide by 108 pixels tall in RGBA8888 format with a 12-byte header at the start - making 12 + 4*(512 * 108) bytes.
You can convert it to PNG or JPEG with ImageMagick like this:
magick -size 512x108+12 -depth 8 RGBA:ghost.raw result.png
I still don't understand from your question or comments what format you actually want - so if you clarify that, I am hopeful we can get you answered.
Try using online converters. They help most of the time.\
A Website like these can possibly help:
https://www.freeconvert.com/raw-to-png
https://cloudconvert.com/raw-to-png
https://www.zamzar.com/convert/raw-to-png/
Some are specific websites which ask you for detail and some are straight forward conversions.
I have an image with a PNG extension.
I suspect it's not really a PNG though (I think it might be a GIF).
How can I confirm an image's encoding?
NB: A solution for Windows would be preferable
on Linux, you can use file command
$ file branches.gif
branches.gif: PNG image data, 1257 x 782, 8-bit/color RGBA, non-interlaced
or ImageMagick part called identify
identify branches.gif
branches.gif PNG 1257x782 1257x782+0+0 8-bit sRGB 114KB 0.000u 0:00.000
You need to do a quick check of the file's internals.
The first 8 bytes of a PNG image are always
137 80 78 71 13 10 26 10
It is vanishingly unlikely that a non-malicious non-PNG has the same 8 bytes.
For windows open the file in a text editor, e.g. Sublime, and the first part should be the png magic number 89 50 4e 47 0d 0a 1a 0a.
One can use https://exiftool.org/ (gratis, portable, works on Microsoft Windows, macOS and Linux).
Demo, running the command exiftool.exe test.png in cmd:
Microsoft Windows [Version 10.0.19042.1706]
(c) Microsoft Corporation. All rights reserved.
C:\PortableProgs\exiftool-12.44>"exiftool(-k).exe" test.png
ExifTool Version Number : 12.44
File Name : test.png
Directory : .
File Size : 1837 kB
Zone Identifier : Exists
File Modification Date/Time : 2022:08:07 17:15:39-07:00
File Access Date/Time : 2022:08:07 18:55:55-07:00
File Creation Date/Time : 2022:08:07 18:55:55-07:00
File Permissions : -rw-rw-rw-
File Type : PNG
File Type Extension : png
MIME Type : image/png
Image Width : 2123
Image Height : 1134
Bit Depth : 8
Color Type : RGB with Alpha
Compression : Deflate/Inflate
Filter : Adaptive
Interlace : Noninterlaced
SRGB Rendering : Perceptual
Gamma : 2.2
Pixels Per Unit X : 9448
Pixels Per Unit Y : 9448
Pixel Units : meters
Exif Byte Order : Big-endian (Motorola, MM)
Orientation : Horizontal (normal)
Date/Time Original : 2022:08:07 14:24:32
User Comment : Screenshot
Color Space : sRGB
Exif Image Width : 2160
Exif Image Height : 1620
XMP Toolkit : XMP Core 6.0.0
Date Created : 2022:08:07 14:24:32
Image Size : 2123x1134
Megapixels : 2.4
-- press ENTER --
I am trying to read and write jpegs wth Adobe RGB colorspace in OpenCV. OpenCV assumes the jpeg has sRGB colorspace and when displaying or writing to file, the image loses some of its color intensity. I found this intensity loss was due to colorspace difference by answers given to my previous question.
Is there anyway I can make OpenCV to read Adobe RGB colorspace without casting it to sRGB?
Some information that is hopefully useful for anyone looking for a work-around for dealing with ICC and other profiles...
You can see what profiles are present in an image using ImageMagick which is installed on most Linux distros and is available for macOS and Windows. In the Terminal, or Command Prompt on Windows, run:
magick identify -verbose frog.jpg | grep 'Profile-.*bytes'
Profile-icc: 578 bytes
That tells you this image has a 578 byte ICC profile embedded.
If you are on Windows and don't have grep, you can equally use the following, though you may need to double up the percent sign, or prefix it with a caret (^) or somehow escape it:
magick identify -format "%[profiles]" frog.jpg
icc
You can extract that profile from the image, using this command:
magick frog.jpg frog.icc
And, you'll get a 578 byte ICC profile:
ls -l *icc
-rw-r--r-- 1 mark staff 578 24 Apr 10:36 frog.icc
You can check that the profile looks correct using the file command:
file *icc
frog.icc: ColorSync color profile 2.1, type ADBE, RGB/XYZ-mntr device by ADBE, 560 bytes, 11-8-2000 19:51:59 "Adobe RGB (1998)"
You can apply that profile to some other file like this:
magick other.jpg -profile "icc:frog.icc" otherWithProfile.jpg
Once you have extracted the profile using the above method, you can apply it to an image that you plan to use with OpenCV using PIL/Pillow's ImageCMS Module.
For that, I think you need to use these steps or something very similar, though I have not tested it:
from PIL import Image, ImageCMS
import numpy as np
# Open frog with PIL/Pillow
im = Image.open('frog.jpg')
iccp = PIL.ImageCms.getOpenProfile("profile.icc")
rgbp = ImageCms.createProfile("sRGB")
icc2rgb = ImageCms.buildTransformFromOpenProfiles(rgbp, iccp, "RGB", "RGB")
result = ImageCms.applyTransform(im, icc2rgb)
You should then be able to convert the resulting image to a Numpy array that OpenCV can work with using:
OpenCVim = np.array(result)
and remember to then convert from RGB ordering to BGR with cv2.cvtColor().
Rather than detect and extract the ICC profile with ImageMagick, you could equally use PIL/Pillow like this:
from PIL import Image
im = Image.open('frog.jpg')
# Now look at "im.info"
{'jfif': 257,
'jfif_version': (1, 1),
'dpi': (72, 72),
'jfif_unit': 1,
'jfif_density': (72, 72),
'icc_profile': b'\x00\x00\x020ADBE\x02\x10\x00\x00mntrRGB XYZ \x07\xd0\x00\x08\x00\x0b\x00\x13\x003\x00;acspAPPL\x00\x00\x00\x00none\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xf6\xd6\x00\x01\x00\x00\x00\x00\xd3-ADBE\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\ncprt\x00\x00\x00\xfc\x00\x00\x002desc\x00\x00\x010\x00\x00\x00kwtpt\x00\x00\x01\x9c\x00\x00\x00\x14bkpt\x00\x00\x01\xb0\x00\x00\x00\x14rTRC\x00\x00\x01\xc4\x00\x00\x00\x0egTRC\x00\x00\x01\xd4\x00\x00\x00\x0ebTRC\x00\x00\x01\xe4\x00\x00\x00\x0erXYZ\x00\x00\x01\xf4\x00\x00\x00\x14gXYZ\x00\x00\x02\x08\x00\x00\x00\x14bXYZ\x00\x00\x02\x1c\x00\x00\x00\x14text\x00\x00\x00\x00Copyright 2000 Adobe Systems Incorporated\x00\x00\x00desc\x00\x00\x00\x00\x00\x00\x00\x11Adobe RGB (1998)\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00XYZ \x00\x00\x00\x00\x00\x00\xf3Q\x00\x01\x00\x00\x00\x01\x16\xccXYZ \x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00curv\x00\x00\x00\x00\x00\x00\x00\x01\x023\x00\x00curv\x00\x00\x00\x00\x00\x00\x00\x01\x023\x00\x00curv\x00\x00\x00\x00\x00\x00\x00\x01\x023\x00\x00XYZ \x00\x00\x00\x00\x00\x00\x9c\x18\x00\x00O\xa5\x00\x00\x04\xfcXYZ \x00\x00\x00\x00\x00\x004\x8d\x00\x00\xa0,\x00\x00\x0f\x95XYZ \x00\x00\x00\x00\x00\x00&1\x00\x00\x10/\x00\x00\xbe\x9c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'}
Here's the frog.jpg image:
Keywords: Python, ImageMagick, image, image processing, profile, ICC profile, extract, insert, apply, transform, PIL, Pillow, OpenCV, CMS, pyCMS.
I have an image and it's a jpg.
I tried running through jpegtran with the following command:
$ jpegtran -copy none -optimize image.jpg > out.jpg
The file outputs, but the image seems un-modified (no size change)
I tried jpegoptim:
$ jpegoptim image.jpg
image.jpg 4475x2984 24bit P JFIF [OK] 1679488 --> 1679488 bytes (0.00%), skipped.
I get the same results when I use --force with jpegoptim except it reports that it's optimized but there is no change in file size
Here is the image in question: http://i.imgur.com/NAuigj0.jpg
But I can't seem to get it to work with any other jpegs I have either (only tried a couple though).
Am I doing something wrong?
I downloaded your image from imgur, but the size is 189,056 bytes. Is it possible that imgur did something to your image?
Anyway, I managed to optimize it to 165,920 bytes using Leanify (I'm the author) and it's lossless.